CN110006284B - Intelligent control system and method for medium heat exchange - Google Patents
Intelligent control system and method for medium heat exchange Download PDFInfo
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Abstract
The invention belongs to the technical field of civil engineering intelligent medium heat exchange temperature control construction, and provides a medium heat exchange intelligent control system and method. The medium heat exchange intelligent control system comprises: the heat exchange device, the heat exchange auxiliary device and the control device; the integrated flow temperature control devices are arranged in the flow temperature medium integrated control cabinet; the flow temperature medium integrated control cabinet and the data acquisition, analysis and feedback intelligent control cabinet are arranged in a loop of the heat exchange medium, and the control device controls the heat exchange medium to complete heat exchange with the target area through the loop, the heat exchange auxiliary device and the heat exchange device. The invention has the beneficial effects that: the intelligent PID algorithm is adopted for control, the highest temperature control in the heat exchange process, the spatial temperature change rate coordination gradient control in the whole heat exchange process of the target area and the abnormal temperature control working condition control in the heat exchange process of the target area are carried out by a gradient closed loop intelligent learning control method, and various sudden abnormal conditions can be effectively dealt with.
Description
Technical Field
The invention belongs to the technical field of civil engineering intelligent water-passing temperature control construction, and particularly relates to a medium heat exchange intelligent control system and method.
Background
For the ultra-high arch dam, the important point of crack prevention in the construction period is concrete temperature control. The temperature problem of the arch dam concrete should be solved mainly from both the aspect of controlling the temperature and the aspect of improving the constraint. From the temperature control perspective, concrete pouring temperature, concrete maximum temperature and final stable temperature are three characteristic temperatures, and the maximum temperature is equal to the pouring temperature plus the hydration heat rise. And the final stable temperature depends on the local climatic conditions and the structural form of the dam body, so the casting temperature and the temperature rise of hydration heat are mainly controlled in engineering.
At present, the temperature control in the construction of the high arch dam mainly controls 3 temperature differences: the basic temperature difference, the internal and external temperature difference and the upper and lower layer temperature difference. The basic temperature difference is controlled by the highest temperature, the internal and external temperature differences are controlled by surface heat preservation and internal water cooling temperature, and the temperature difference between the upper layer and the lower layer is controlled by the highest temperature of the concrete and a reasonable water cooling process. The first formal application of water cooling in the engineering field was from the last 30 s, and the on-site tests of concrete water pipe cooling on the Owyhe arch dam by the U.S. department of reclamation in 1931 gave satisfactory results. In the following two years, the American Ministry of reclamation embeds cooling water pipes in concrete bins completely for manual cooling for the first time in the process of building a Hoover dam, thereby achieving ideal temperature control and anti-cracking effects. The cooling water pipe is widely used in the construction of concrete dams in various countries in the world due to the characteristics of flexibility, reliability, versatility and the like of application. When the first concrete arch dam, a flood and county arch dam, is built in 1955 in China, a pre-buried cooling water pipe is firstly adopted, and good anti-cracking effect is achieved after the building. Then, the method is widely applied to a plurality of large hydraulic projects such as a three gorge dam, a private-quarter arch dam, a two-beach arch dam, a large tide mountain cofferdam, a windlass hydroelectric station roller compacted concrete dam, a Longtan hydroelectric station roller compacted concrete gravity dam, a white sand reservoir, a brocade first-level arch dam, a Xiludu arch dam and the like, and a good temperature control anti-cracking effect is obtained. From numerous large-volume concrete engineering practices, the artificial cooling method of water pipe cooling becomes an indispensable key temperature control anti-cracking measure in the design and construction of concrete dams.
A large number of engineering practices show that when concrete is poured in a high-temperature season, the temperature of the concrete pouring bin is difficult to be completely controlled not to exceed the allowable maximum temperature under the influence of external conditions such as the warehousing temperature, solar radiation, water-through heat exchange and the like. In order to normally develop the performance of the concrete material, the maximum temperature of the concrete pouring bin must be brought to a proper temperature. Namely, the highest temperature of the concrete pouring bin cannot be too high or too low. The purpose of temperature control during dam construction is to implement temperature control by manual water and heat exchange, so that the temperature of concrete is kept near the designed temperature (according to the designed 'temperature-time curve'), and the construction procedure and quality are controllable. In brief, the whole water-passing heat exchange is a temperature target control, and the temperature of the concrete at each stage is adjusted (reduced or increased) or controlled to be close to a certain temperature T point according to the design requirement. However, there are many factors that directly affect the temperature control effect, and these factors are roughly classified as follows: (1) different temperatures, different pouring temperatures, different water pipe intervals, different construction details (tamping degree, reasonable water pipe arrangement degree and the like) and the like can cause different densities of pouring blocks, so that the internal heating states are inconsistent, and individual heat exchange control of the pouring blocks is required; (2) different bin water pipes have different deformation degrees, so that different flow control is needed, and the independent temperature control of each group of heat exchange branch pipes is preferably realized; (3) the interval of the water flow is adjusted manually, the workload of manually acquiring temperature and flow data is large, and the influence of subjective factors and the running condition of equipment is large; (4) the current control cannot be realized in real time and on line, the existing heat exchange system is limited by the traditional engineering construction, the engineering matching technical level and the construction cost, enough related acquisition instruments are difficult to arrange, and the real-time dynamic feedback control is difficult to realize.
The existing intelligent water-passing temperature control system has many disadvantages, such as the temperature control system in the chinese patent CN 102852145a, which has the following disadvantages:
(1) the line is messy, the function is not centralized, the construction environment with complicated site can not be satisfied, the installation workload of the site equipment is large, the wiring is more, the equipment is easy to damage and steal, and the trouble removal and the maintenance are not convenient;
(2) the existing system has poor data precision, low data transmission efficiency, long acquisition time interval and slow information feedback, and often causes unsatisfactory concrete temperature control;
(3) the loop is opened and cannot be set in batch in advance, so that the construction progress is delayed;
(4) the data acquisition equipment and the control equipment are separated, the equipment basically has no intercommunication and interconnection, the expansibility is poor, a special network and optical fibers are needed, and difficulty and inconvenience are brought to the control of the temperature of dam concrete.
(5) Basically, conventional data processing methods and means are adopted, and no new method for the current AI and deep learning is introduced.
Outside the construction occasions of arch dams, other large-volume concrete artificial buildings also have the requirements of water and heat exchange in the forming process, such as foundations of large buildings, bearing platforms of large bridges and the like, and at present, a plurality of original and extensive manual adjustment water pipeline valves are provided, a fixed-point temperature measurement management method is adopted, and a complete system and a control method are not provided.
Disclosure of Invention
The invention aims to provide a medium heat exchange intelligent control system and a medium heat exchange intelligent control method, which aim to solve the technical problems in the prior art.
The technical means adopted by the invention are as follows: an intelligent control system for medium heat exchange, comprising: the heat exchange device is arranged on the surface or inside of a target area and is used for exchanging heat with the target area and guiding the heat into or out of the target area so as to control the temperature of the target area; the heat exchange auxiliary device is used for inputting heat exchange media to the heat exchange device and outputting the heat-exchanged media from the heat exchange device; the method is characterized in that: the heat exchange auxiliary device comprises a medium flow control device, a medium flow measuring device and a medium temperature measuring device, wherein the medium flow control device, the medium flow measuring device and the medium temperature measuring device are integrated in a plurality of integrated flow temperature control devices, each integrated flow temperature control device corresponds to one loop of the heat exchange medium, and the integrated flow temperature control devices are arranged in a flow temperature medium integrated control cabinet; the control device comprises a central processing module, an acquisition module, a peripheral module and a remote cloud system connected through a network, wherein the central processing module, the acquisition module and the peripheral module are packaged and arranged in a data acquisition analysis feedback intelligent control cabinet, and the central processing module adopts an intelligent PID algorithm to perform gradient control on the flow and the temperature of the heat exchange medium; the cloud system receives data uploaded by the data acquisition, analysis and feedback intelligent control cabinet and issues an instruction by running a certain algorithm; the data acquisition, analysis and feedback intelligent control cabinet keeps autonomous working for a period of time according to a system in the central processing module under the condition of cloud system chain breakage; the flow temperature medium integrated control cabinet and the data acquisition, analysis and feedback intelligent control cabinet are arranged in a loop of the heat exchange medium, the control device controls the heat exchange medium to be output from the heat exchange medium station, and the heat exchange with the target area is completed through the loop and the heat exchange auxiliary device and the heat exchange device in the loop.
In a preferred embodiment of the present invention, the temperature medium integrated control cabinet comprises a first cabinet body, and the first cabinet body comprises a plurality of layered structures; a fixing device for fixedly mounting a plurality of the heat exchange auxiliary devices; the wiring of the heat exchange auxiliary device is collected in the first wiring device of the cabinet body; the fixing device is positioned in each layered structure, a plurality of heat exchange auxiliary devices are mounted on each fixing device, and a plurality of heat exchange auxiliary devices are integrated in each layered structure, and heat exchange media in an input main pipeline flow through each heat exchange auxiliary device in the layered structure and flow into an output main pipeline after exchanging heat with a target area.
In a preferred embodiment of the present invention, the integrated flow temperature control device in the heat exchange auxiliary device further includes a temperature acquisition device and a flow acquisition device, and the size and the direction of the flow of the heat exchange medium are controlled in real time according to an external instruction, so as to acquire the temperature of the heat exchange medium and the transmission instantaneous flow or the accumulated flow in real time.
In the preferred embodiment of the invention, the integrated flow temperature control device is provided with a bidirectional electric flow control valve, a digital temperature measuring device, a bidirectional ultrasonic flowmeter and a filtering device; the number of the integrated flow temperature control devices is dynamically matched according to the number of actually required heat exchange medium loops and the number of thermometers in a target area, and meanwhile, a certain standby loop is reserved.
In a preferred embodiment of the present invention, the integrated flow temperature control device further includes an intelligent flow temperature acquisition control module, a human-computer interaction device, a connection line and a temperature control device, and is connected to the flow acquisition device, the temperature acquisition device, the bidirectional electric flow control valve and the temperature control device through the connection line.
In the preferred embodiment of the invention, the intelligent flow temperature acquisition control module comprises a sensor, a measurement unit, a main controller, a communication interface and an intelligent unit; the sensor is connected with the measuring unit; the measuring unit is connected with the main controller and is used for processing the received ultrasonic signals and measuring the propagation time of the ultrasonic waves in the fluid and the measured temperature value; the communication interface is respectively connected with the main controller and the intelligent unit and is used for sending measured flow temperature data and realizing the communication between the intelligent unit and the cloud system; the intelligent unit is connected with the main controller and used for storing and executing a flow correction algorithm downloaded from a big data analysis library of the cloud system in real time; the main controller is used for receiving the time value and the temperature value measured by the measuring unit, calculating the current instantaneous flow rate according to a formula to obtain a flow value, and controlling a communication interface and an intelligent unit connected with the main controller to work.
In a preferred embodiment of the present invention, the intelligent flow temperature acquisition control module further includes a power management unit, and the power management unit is connected to other units and is used for power supply management of other units.
In a preferred embodiment of the present invention, the device further includes a human-machine interface, and the human-machine interface is connected to the intelligent unit, and is configured to input parameters of the intelligent flow-temperature acquisition control module, and output measurement values externally according to a protocol format via a display screen or an electrical signal.
In a preferred embodiment of the present invention, the number of the sensors is two or more.
In a preferred embodiment of the present invention, the input pipeline of the heat exchange auxiliary device is communicated with the input main pipeline, and the output pipeline of the heat exchange auxiliary device transmits the heat exchange medium to the target area for temperature control; the heat exchange auxiliary device comprises a plurality of pipeline loops, and each pipeline loop inputs the heat exchange medium for different target areas; the pipeline loop is arranged in a snake shape according to the system in a target area where the medium exchanges heat.
In a preferred embodiment of the present invention, a plurality of the layered structures are an integrated package structure; the layered structures are detachably connected, and the adjacent layered structures form a packaging structure through a connecting piece; the top of the first cabinet body is provided with a hoisting device, the bottom of the first cabinet body is provided with a drainage device, and the drainage device is used for punching holes in the bottom plate of the cabinet body and the corners of the bottom plates of the first wiring devices on the two sides.
In a preferred embodiment of the present invention, the connection wires of the medium heat exchange intelligent control system are connected to each heat exchange auxiliary device and then collected in the first connection device; one side of the first cabinet body is provided with an indent or an evagination for installing the first wiring device, the waterproof treatment of the wiring inlet and outlet of the first cabinet body is as follows: the wiring hole of the first cabinet body is completely designed by adopting an aviation plug assisted with a waterproof cover plate, and the cover plate is designed in a flip type mode.
In a preferred embodiment of the present invention, the data acquisition, analysis and feedback intelligent control cabinet further includes: the second cabinet body and the second wiring device; the second wiring device is arranged on the inner side wall of the second cabinet body and used for mounting the acquisition module, the central processing module and the peripheral module; the acquisition module is used for acquiring the flow of the heat exchange medium, the temperature of the heat exchange medium and the temperature of a target area; the central processing module is used for processing the data acquired by the acquisition module and uploading the processed data to the cloud system for data interaction, and meanwhile, a plurality of data acquisition analysis feedback intelligent control cabinets form a local area network for data interaction.
In a preferred embodiment of the present invention, the central processing module is an intelligent processing unit, and the intelligent processing unit performs maximum temperature control in a heat exchange process of a target area, spatial temperature change rate coordinated gradient control in the whole heat exchange process of the target area, and control of abnormal temperature control conditions in the heat exchange process of the target area, where the abnormal temperature control conditions include excessive temperature difference in the target area, excessive casting temperature, abrupt environmental temperature drop, and insufficient medium flow supply.
In the preferred embodiment of the invention, the number of each module in the data acquisition, analysis and feedback intelligent control cabinet is dynamically matched according to the number of the connected integrated flow temperature control devices, and a certain standby channel is reserved.
In a preferred embodiment of the present invention, the central processing module includes a CPU computing module, a memory module, a storage module, and an in-cabinet communication IO module; the peripheral module comprises a peripheral industrial personal computer, a peripheral screen, a peripheral keyboard mouse, a peripheral router, a remote PC end, a WeChat mobile end and a webpage end.
In the preferred embodiment of the invention, the cloud system is a flexible cloud system, and computing resources are dynamically allocated according to requirements; the data acquisition analysis feedback intelligent control cabinet is provided with a standby industrial personal computer unit for periodically carrying out data backup.
In a preferred embodiment of the present invention, there is further provided a control method of the above-mentioned medium heat exchange intelligent control system, including the steps of:
(1) the medium in the medium supply station flows through the flow-temperature medium integrated control cabinet, the medium flow and the temperature are adjusted to be preset under the control of a central processing module and an external module in the data acquisition, analysis and feedback intelligent control cabinet, heat input and output are carried out on the target area, and heat exchange is carried out;
(2) the intelligent flow temperature acquisition control module acquires temperature information and medium flow information of a target area in real time, the central processing module/the main controller adopts an intelligent PID algorithm and performs highest temperature control in the heat exchange process, space temperature change rate coordination gradient control in the whole heat exchange process of the target area and control of abnormal temperature control working conditions in the heat exchange process of the target area by a gradient closed loop intelligent learning control method, and the abnormal temperature control working conditions comprise overlarge temperature difference in the target area, overhigh pouring temperature, sudden drop of ambient temperature and insufficient medium flow supply.
In the preferred embodiment of the invention, the gradient closed-loop intelligent learning control method adopts an intelligent PID (proportion integration differentiation) adjusting algorithm, comprises a proportional link, an integral link, a differential link and a deep learning link, and realizes automatic parameter adjustment and regulation by using a deep learning method.
In a preferred embodiment of the present invention, the intelligent unit in the intelligent flow temperature acquisition control module corrects the acquired flow by executing a certain algorithm, where the algorithm includes a maximum flow determination algorithm, a flow continuous determination algorithm, and an intelligent algorithm based on deep reinforcement learning.
In a preferred embodiment of the present invention, the maximum flow judgment criterion is downloaded from a cloud system, and the maximum flow judgment algorithm includes the following steps:
s401: powering on, and reading the stored original rule;
s402: connecting with a server, and downloading a maximum flow rule;
s403: starting a timer, measuring the propagation time of the ultrasonic wave in the fluid, and calculating the current instantaneous flow velocity according to a formula to obtain a flow value;
s404: whether the current flow value is less than the maximum flow;
s405: if yes, judging that the flow value meets the requirement, and outputting through a communication interface;
s406: if not, judging that the flow value does not meet the requirement, neglecting the flow value acquired at the time, and simultaneously recording the error number.
In a preferred embodiment of the present invention, a traffic continuity determination algorithm is downloaded from a cloud system, and the traffic continuity determination algorithm includes the following steps:
s501: powering on, and reading the stored original rule;
s502: connecting a cloud system, and downloading a continuous flow rule;
s503: starting a timer, measuring the propagation time of the ultrasonic wave in the fluid, and calculating the current instantaneous flow velocity according to a formula to obtain a flow value;
s504: whether the current flow value is in a certain interval (Min, Max) or not, wherein Min is a set minimum flow value, and Max is a set maximum flow value;
s505: if yes, judging that the flow value meets the requirement, and outputting through a communication interface;
s506: if not, judging that the flow value does not meet the requirement, neglecting the flow value acquired at the time, and simultaneously recording the error number.
In a preferred embodiment of the present invention, the intelligent algorithm based on deep reinforcement learning includes the following steps:
s601: training a data set, and collecting real scene historical data;
s602: establishing a simulation model, determining a reward and punishment value and state transition information, determining an action space of a strategy, determining value parameters of all corresponding actions, and determining an optimal estimation value according to the flow value;
s603: training and learning the simulation model by using a training set to obtain a typical model;
s604: and carrying out real-time decision making by using the typical model.
In the preferred embodiment of the invention, the flow correction rules and algorithms executed by the intelligent unit are manually input through a human-computer interface; according to the method, the intelligent unit selects a flow correction algorithm to calculate the current flow according to the actual medium circulation condition.
In the preferred embodiment of the invention, the flow correction rule and algorithm executed by the intelligent unit are manually input through a human-computer interface, or the intelligent unit downloads the flow correction rule and algorithm from the cloud system to form an expert system rule knowledge base, judges whether the data acquisition is correct, preprocesses the original acquired data to form effective data, adjusts according to the effective data, and then regulates and controls.
In a preferred embodiment of the present invention, the method for controlling the temperature of the heat exchange medium comprises the following steps:
s1, setting the temperature of the circulating medium;
s2, closing the medium flow control device;
s3, turning on the medium temperature control device;
s4, measuring the medium temperature by a medium temperature measuring device;
s5: opening the medium flow control device when the medium reaches a preset temperature;
s6, continuing to measure, finding that the temperature of the medium is reduced, reducing the opening of the medium flow control device and increasing the medium temperature control power;
and S7, repeatedly adjusting the temperature according to the steps to achieve the aim of outputting the medium with the preset temperature in real time.
In a preferred embodiment of the present invention, the method for controlling the flow rate of the heat exchange medium includes the following steps:
s1, setting a medium flow F;
s2, setting the opening of the initial medium flow control device;
s3, the medium flow measuring device measures the current flow F1, if the current F1 is greater than F, the opening degree of the medium flow control device is decreased, if the current F1 is less than F, the opening degree of the medium flow control device is increased;
s4, the medium flow measuring device continues to measure, if the current medium flow and the set medium flow are in the allowable error range, the adjustment is stopped, otherwise, the step S3 is carried out in a circulating way;
and S5, displaying alarm information for the adjustment which can not be completed within the limited time T.
Compared with the prior art, the invention has the following beneficial effects:
(1) the medium heat exchange intelligent control system can improve the controllability of each medium circulation loop. By integrating all the integrated flow temperature valve loops into the same cabinet body, not only is the maintenance and the management of the cabinet body convenient, but also the maintenance and the management of a field medium circulation pipeline are convenient, and the batch or individual control of all the medium circulation loops can be realized.
(2) The intelligent control system for medium heat exchange adopts the intelligent control cabinet for data acquisition, analysis and feedback, so that the intelligent control system for medium heat exchange can be ensured to be sustainable, efficient and anti-interference, and can perform data acquisition, feedback and control in real time.
(3) The medium heat exchange intelligent control system adopts intelligent PID algorithm control, and controls the highest temperature in the heat exchange process, the spatial temperature change rate coordination gradient control in the whole heat exchange process of the target area and the abnormal temperature control working conditions in the heat exchange process of the target area by a gradient closed loop intelligent learning control method, wherein the abnormal temperature control working conditions comprise overlarge temperature difference in the target area, overhigh pouring temperature, sudden drop of ambient temperature, insufficient medium flow supply and the like, and can effectively cope with various sudden abnormal conditions.
(4) The medium heat exchange intelligent control system can greatly improve the anti-interference performance of sensors and control valves in the two control cabinets through integration and cabinet body encapsulation, reduce the adverse effect of site construction environment on equipment, effectively play the functions of data acquisition and control through the matched use of the two control cabinets, and simultaneously monitor and control the running condition of the medium heat exchange intelligent control system in real time.
Drawings
Fig. 1 is a schematic view of a temperature medium integrated control cabinet in a medium heat exchange intelligent control system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an integrated flow temperature valve in the intelligent medium heat exchange control system according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an intelligent flow temperature acquisition control module in the intelligent medium heat exchange control system according to an embodiment of the present invention.
Fig. 4 is a circuit diagram of an ultrasonic measurement unit of an intelligent flow temperature acquisition control module in the intelligent medium heat exchange control system according to an embodiment of the present invention.
Fig. 5 is a circuit diagram of a main controller of an intelligent flow temperature acquisition control module in the intelligent medium heat exchange control system according to an embodiment of the present invention.
Fig. 6 is a flowchart of a maximum flow determination algorithm adopted by the intelligent medium heat exchange control system in an embodiment of the present invention.
Fig. 7 is a flowchart of a flow continuity determination algorithm adopted by the intelligent medium heat exchange control system in an embodiment of the present invention.
Fig. 8 is a flowchart of an intelligent algorithm based on deep reinforcement learning, which is adopted by the intelligent control system for medium heat exchange in an embodiment of the present invention.
Fig. 9 is a schematic diagram of a data acquisition, analysis and feedback intelligent control cabinet in the intelligent medium heat exchange control system according to an embodiment of the present invention.
Fig. 10 is a schematic diagram of a gradient closed-loop intelligent learning control process adopted by a data acquisition analysis feedback intelligent control cabinet in the medium heat exchange intelligent control system in an embodiment of the present invention.
Fig. 11 is a schematic diagram of the overall connection of the intelligent control system for medium heat exchange according to an embodiment of the present invention.
Wherein: 1-a first cabinet body, 2-a body flow temperature valve, 3-a fixed support, 4-a wiring terminal box, 5-a first wiring, 6-a flow sensor, 7-a temperature sensor, 8-a pair of wire short sections, 9-an electric regulating valve, 10-an intelligent flow temperature acquisition control module, 11-a man-machine interaction device, 12-a connecting line, 13-a fixing device, 14-a temperature control device, 15, a tee joint, 16, a long pair of wires, 17, a second cabinet body, 18, a fixed wiring board, 19, a flow module, 20, a water inlet and outlet temperature module, 21, a concrete temperature module, 22, a power supply module, 23, a CPU module, 24, a CPU memory card module, 25, an auxiliary module, 26, a circuit breaker, 27, a socket, 28, a terminal row, 29, an industrial personal computer, 30, a peripheral screen, 31, a peripheral screen, a power supply module, a power supply, Peripheral keyboard mouse, 32, peripheral router, 33, second wiring, 34, data acquisition analysis feedback intelligent control cabinet, 35, temperature of flowing water integrated control cabinet, 36, concrete temperature sensor, 37, concrete piece internal cooling water pipe, 38, the total pipe of leaving the station, 39, cooling unit, 40, switch board branch pipe, 41, the water main pipe, 42, income concrete piece preceding branch pipe, 43, cloud system, 44, the total pipe of inbound.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, belong to the scope of the present invention.
The medium heat exchange intelligent control system in the embodiment of the invention comprises: the heat exchange device is arranged on the surface or inside of the concrete block and is used for exchanging heat with the concrete block and guiding the heat into or out of the concrete block so as to control the temperature of the concrete block; the heat exchange auxiliary device is used for inputting heat exchange media to the heat exchange device and outputting the heat-exchanged media from the heat exchange device.
Wherein, heat exchange device installs in concrete dam surface and/or inside for with concrete dam exchange heat, follow the heat the dam is derived or is leading-in, it is right to realize the temperature control of concrete dam, temperature control is including the cooling heat transfer to concrete dam, also includes the heating heat preservation to concrete dam. Preferably, the heat exchange device comprises at least two main pipes, one of the at least two main pipes is used for inputting the heat exchange medium, and the other of the at least two main pipes is used for outputting the heat exchanged medium. If the dam is built in different bins, namely a plurality of pouring bins are arranged, each pouring bin needs to be provided with an independent heat exchange device so as to realize personalized temperature control.
The heat exchange auxiliary device is connected with the heat exchange device and used for inputting heat exchange media to the heat exchange device and outputting the media subjected to heat exchange from the heat exchange device, and the heat exchange auxiliary device comprises a heat exchange auxiliary device such as a body flow temperature control device. The heat exchange auxiliary device comprises a medium flow control device, a medium flow measuring device and a medium temperature measuring device, the medium flow control device, the medium flow measuring device and the medium temperature measuring device are integrated in a plurality of integrated flow temperature control devices, each integrated flow temperature control device corresponds to one loop of the heat exchange medium, and the integrated flow temperature control devices are arranged in a flow temperature water-flowing integrated control cabinet 35; the control device comprises a central processing module, an acquisition module and a peripheral module, wherein the central processing module, the acquisition module and the peripheral module are packaged and arranged in a data acquisition analysis feedback intelligent control cabinet 34, and the central processing module adopts an intelligent PID algorithm to control the flow and the temperature of the heat exchange medium; the temperature-flowing water-passing integrated control cabinet 35 and the data acquisition, analysis and feedback intelligent control cabinet 34 are arranged in a loop of the heat exchange medium, the control device controls the heat exchange medium to be output from a heat exchange medium station, and heat exchange with the concrete block is completed through the loop and the heat exchange auxiliary device and the heat exchange device in the loop.
In the embodiment of the present invention, as shown in fig. 11, the heat exchange medium is preferably water, cooling water provided by a cooling unit 39 enters a main water pipe 41 through an outlet header pipe 38, and enters a warm water and water flowing integrated control cabinet 35 through a control cabinet branch pipe 40, the warm water and water flowing integrated control cabinet 35 adjusts the water temperature, flow rate and flow rate of the cooling water, the cooling water then flows into a concrete block front branch pipe 42 and enters the concrete block, the concrete block is cooled along a cooling water pipe 37 in the concrete block, and the cooling water which has performed heat exchange with the concrete block returns to the cooling unit 39 through an inlet header pipe 44. In the process of heat exchange between the cooling water and the concrete block, the data acquisition analysis feedback intelligent control cabinet 34 acquires the water temperature, the flow rate and the flow of the cooling water and the temperature information of the concrete block in real time, exchanges data with the cloud system 43, and controls and adjusts the temperature, the flow rate and the flow of the cooling water in real time by controlling the water temperature and water flowing integrated control cabinet 35 until the heat exchange process is completed.
In the embodiment of the present invention, the intelligent control system for medium heat exchange includes a flow temperature and water flow integrated control cabinet 35, as shown in fig. 1, including: the device comprises a first cabinet body 1, a temperature control valve 2, a fixed support 3, a wiring terminal box 4 and a first wiring 5; wherein, the integral flow temperature valve 2 and the fixed bracket 3 are arranged inside the first cabinet body 1; the wiring terminal box 4 is arranged outside the first cabinet body 1; the first wiring 5 is connected with the integral flow temperature valve 2 and the wiring terminal box 4 and is led out from one side of the wiring terminal box 4; the first cabinet body 1 is of a layered structure, and the layered structures are integrated or detachable.
In the embodiment of the invention, a fixed support 3 is fixedly arranged on a first cabinet body 1, one fixed support 3 is arranged in each layered structure, a plurality of integrated flow temperature valves 2 are arranged on each fixed support 3, the fixed supports 3 need to meet the bearing requirements of all the integrated flow temperature valves 2 and can resist the integral twisting action of the integrated flow temperature valves 2 when the pipeline is directly sleeved on site, and the fixed supports 3 adopt a rail type design and can dynamically adjust the combination type with the integrated flow temperature valves 2. The edge of the integrated flow temperature valve 2 is fixed with a clamping groove reserved in the fixing support 3, and the clamping grooves which can be opened in a personalized manner to form different shapes are formed according to devices of different integrated flow temperature valves 2, so that the adaptability of the first cabinet body 1 to basic components is improved, and meanwhile, the fixing effect of the integrated flow temperature valve 2 is enhanced by adopting a mode of fixing a lower clamping groove and an upper screw, and the disassembly and maintenance are convenient; the closing plate can be dismantled to 3 pairs of semicircles of fixed bolster, can form effective protection to inside integrated flow temperature valve 2 on the one hand, and on the other hand also is convenient for dismantle when breaking down and overhauls. One side boundary of the first cabinet body 1 is provided with a groove to meet the waterproof requirement, the groove is used for installing a wiring terminal box 4 of a circuit switching device, the wiring terminal box 4 can adopt two designs of inner concave (embedded) or outer convex (wall hanging), the internal space of the first cabinet body 1 is conveniently and fully utilized, the size of the first cabinet body 1 is reduced, and the required field space for field layout is saved. The side of the first cabinet body 1 is provided with a heat preservation device which is a heat insulation board and can be detached to protect electronic devices. Meanwhile, the wiring hole of the first cabinet body 1 is completely designed to be waterproof in a mode of adopting an aviation plug to assist a waterproof cover plate (a turnover cover plate), so that the waterproof cabinet can effectively prevent water, and the corrosion of water or external environment water in the first cabinet body 1 to electronic devices is avoided. Punching at the bottom plate of every layer of the first cabinet body 1 of medium heat transfer intelligence control system and the bottom plate corner of both sides wiring terminal box 4, being convenient for discharge the cabinet with the inside comdenstion water of the first cabinet body 1 fast in, prevent that the comdenstion water on 2 surfaces of a water heat transfer process flows warm valve 2 and first wiring 5 of damage of a body in the first cabinet body 1. The first wiring 5 comprises a temperature sensor, a flow sensor, an outer lead of an electric regulating valve, a transfer line for collecting the outer lead of the integrated flow temperature valve 2 and leading the outer lead to the wiring terminal box 4, and a general wiring connected with the data control cabinet after being transferred by the wiring terminal box 4. The first cabinet body 1 is a rectangular frame made of steel plate materials, adopts a packaging structure, and simultaneously meets the fixing requirement of pipeline sleeve joint on site, the drainage requirement of water leakage in the water flowing process, the waterproof requirement of a line and the strength requirement of layered hoisting on site; wherein, in order to satisfy the on-the-spot transport demand, a plurality of layered structure structures are the same, and a plurality of layered structure pass through bolt fixed connection. The top of the first cabinet body 1 is provided with a lifting ring, so that the lifting is convenient, and the side plates can be detached and maintained conveniently.
Each integrated temperature valve 2 in the medium heat exchange intelligent control system is a part of loop of a field water pipeline, the part of loop in the first cabinet body 1 can collect and transmit inflow temperature data (realized by a tee joint and a temperature sensor 7), and can collect and transmit flow data (realized by a flow sensor), and meanwhile, the flow rate can be controlled by controlling the opening degree of the valve (realized by an electric control valve 9). Therefore, the purposes of monitoring and controlling the on-site water-flowing temperature control process are realized, and the data is uploaded and the instruction is received through the connecting line and the data control cabinet, so that the closed-loop control is realized; one data control cabinet can control a plurality of medium heat exchange intelligent control systems, thereby meeting different construction requirements on site.
The integrated temperature valve 2 in the temperature-flow water-flow integrated control cabinet 35 of the present embodiment, as shown in fig. 2, includes: the length that connects gradually from a left side to the right side is to silk 16, electrical control valve 9, to silk nipple joint 8, tee bend 15 and flow sensor 6, and the length is connected with the internal thread of electrical control valve 9 left end to the outer silk of 16 right-hand members of silk, and the internal thread of the electrical control valve 9 other end is connected with the outer silk of 8 left ends of silk nipple joint, is connected with the internal thread of the 15 left ends of tee bend to the outer silk of the 8 other ends of silk nipple joint, and the internal thread of the 15 right-hand members of tee bend is connected with the outer silk of the 6 left ends of flow sensor. Specifically, the temperature sensor 7 is inserted in the tee 15, and the temperature sensor 7 is a digital thermometer for measuring the temperature of the fluid in real time; the left end of the filament pair 16 and the right end of the flow sensor 6 are provided with filter valves for filtering impurities in the fluid to prevent clogging. The long paired wires 16 and the paired short joints 8 are both double external wires, the length of the external wires is 20mm, the length of the long paired wires 16 is 230mm, and the length of the paired short joints 8 is 100 mm; the electric regulating valve 9 is double internal threads, the length of the internal threads is 27mm, and two ends of the electric regulating valve 9 are octagonal and are fixedly arranged on the fixed support; tee bend 15 is two internal thread, and internal thread length is 15mm, and temperature sensor 7 external diameter is 5.7-5.8mm, and tee bend 15 connects the drill way internal diameter of temperature sensor 7 to be 6mm, and flow sensor 6 is two outer silk, and outer silk length is 18mm, and flow sensor 6 middle part is the hexagon, installs on the fixed bolster, and flow sensor 6 is turbine flowmeter or ultrasonic flowmeter, and electrical control valve 9 is electromagnetic control valve.
In the embodiment of the invention, the integrated flow temperature valve 2 further comprises an intelligent flow temperature acquisition control module 10, a man-machine interaction device 11, a connecting line 12, a fixing device 13 and a temperature control device 14, wherein the intelligent flow temperature acquisition control module 10 and the man-machine interaction device 11 are fixed on the pipeline through the fixing device 13 and are connected with the flow acquisition device, the temperature acquisition device, the bidirectional electric flow control valve and the temperature control device through the connecting line 12.
In the embodiment of the invention, the integrated flow temperature control valve 2 further comprises a power management unit, a single chip microcomputer, a peripheral circuit, a storage unit and a communication unit, the intelligent flow temperature acquisition control module 10 is communicated with an upper computer, and the integrated flow temperature control valve 2 provides 485 and M-BUS interfaces; the integrated flow temperature valve 2 further comprises a display and control unit, the display unit is a display screen, the display screen displays the current states of the devices and units, and the display mode is switched through keys; the communication unit is a wired or wireless communication unit; and the pipeline is provided with an observation window for observing the medium flow and the bubbles of the medium. The number of the integrated flow temperature valves 2 in the first cabinet body 1 is dynamically matched according to the number of the connected loops and the number of the concrete thermometers, meanwhile, a certain standby loop needs to be reserved, the stability of system operation is improved, the matching relation between the medium heat exchange intelligent control system and the number of the positions of the on-site embedded pipes is ensured, the phenomena of remote winding connection and the like in the on-site application process are avoided, the construction difficulty is increased, the number of the flow temperature valves 2 on one layer of the medium heat exchange intelligent control system is not fixed, and dynamic adjustment can be achieved. In addition, the integral flow thermo valve 2 can be operated in both directions. In alternative embodiments, the flow sensor 6 may be an ultrasonic sensor, an electromagnetic wave sensor, or other type of flow sensor that can monitor the flow of fluid through a pipeline.
In an optional embodiment of the present invention, a temperature control method using the above integral flow temperature valve is provided, which includes the following steps:
s1, setting the temperature of the circulating medium;
s2, closing the electric regulating valve 9;
s3, turning on the medium temperature control device 14;
s4, the temperature sensor 7 measures the temperature of the medium;
s5: opening the medium flow control device when the medium reaches a preset temperature;
s6, continuing to measure, finding that the temperature of the medium is reduced, reducing the opening degree of the electric regulating valve 9, and increasing the power of the medium temperature control device 14;
and S7, repeatedly adjusting the flow rate of the medium in real time according to the steps.
In an optional embodiment of the present invention, a flow control method using the above integral flow temperature valve is further provided, which includes the following steps:
s1, setting a medium flow F;
s2, setting the opening of the initial electric regulating valve 9;
s3, the medium flow measuring device measures the current flow F1, if the current flow F1> F, the opening degree of the electric control valve 9 is reduced, if the current flow F1< F, the opening degree of the electric control valve 9 is increased;
s4, the medium flow measuring device continues to measure, if the current medium flow and the set medium flow are in the allowable error range, the adjustment is stopped, otherwise, the step S3 is carried out in a circulating way;
and S5, displaying alarm information for the adjustment which can not be completed within the limited time T.
In the embodiment of the present invention, as shown in fig. 3, the intelligent flow temperature acquisition control module 10 in the integrated flow temperature valve 2 includes: the system comprises a sensor 101, a measuring unit 102, a main controller 103, a power management unit 104, a communication interface 105, an intelligent unit 106, a man-machine interface 107 and a water pipe section. The sensor 101 may be an ultrasound transducer, connected to the measurement unit 102, for emitting and receiving ultrasound waves. The number of ultrasonic transducers may be 2, or more. The sensor 101 may also be a thermometer, and the number of thermometers may be plural. And a measuring unit 102 connected with the main controller 103 for processing the received ultrasonic signal and measuring the propagation time of the ultrasonic wave in the fluid and the measured temperature value. One implementation circuit of the measurement unit 102, as shown in fig. 4, is composed of a GP22 and peripheral circuits; a communication interface 105, respectively connected to the main controller 103 and the intelligent unit 106, for sending the measured flow data and implementing communication between the intelligent unit 106 and the cloud system; an intelligent unit 106 connected to the main controller 103, for storing and executing a flow correction algorithm downloaded from a big data analysis library of the cloud system; the human-computer interface 107 is connected with the intelligent unit 106 and used for manually inputting various parameters of the flow temperature acquisition control module; the main controller 103 is used for receiving the time value and the temperature value measured by the measuring unit 102, and calculating the current instantaneous flow rate according to a formula to obtain an average flow value; the communication interface 105 and the intelligent unit 106 connected with the communication interface are controlled to work. An implementation circuit of the main controller 103, as shown in fig. 5, is composed of an STM32 single chip microcomputer and peripheral circuits.
In an alternative embodiment, the unitary flow temperature valve 2 further includes a power management unit 104, connected to each other unit, for managing power supply of each other unit. The ultrasonic transducer, the measurement unit 102, functions as a typical ultrasonic flow meter. The intelligent unit 106 corrects the collected flow by executing certain rules and algorithms. The algorithm can be of several types, including a maximum flow judgment algorithm, a flow continuous judgment algorithm and an intelligent algorithm based on deep reinforcement learning.
In the embodiment of the present invention, as shown in fig. 6, the maximum flow determination algorithm adopted includes:
and step 406, if not, judging that the flow value does not meet the requirement, ignoring the flow value acquired at this time, and simultaneously recording the error number.
In the embodiment of the present invention, as shown in fig. 7, the flow continuity determination algorithm adopted includes:
and step 506, if not, judging that the flow value does not meet the requirement, ignoring the flow value acquired at the time, and simultaneously recording the error number.
In the embodiment of the present invention, as shown in fig. 8, the intelligent algorithm based on deep reinforcement learning includes the following steps:
s601, training a data set, and collecting real scene historical data;
s602, establishing a simulation model, determining a reward and punishment value and state transition information, determining an action space of a strategy, determining value parameters of all corresponding actions, and determining an optimal estimation value according to the flow value;
s603, training and learning the simulation model by using the training set to obtain a typical model;
and S604, outputting the flow value in real time by using the typical model.
The pseudo code is described as follows:
inputting iteration round number T, state characteristic dimension n, action set A, step length α and β, attenuation factor gamma, exploration rate E, Critic network and Actor network.
And (3) outputting: an Actor network parameter theta and a criticc network parameter w.
Executing:
1. randomly initializing all states S and values Q corresponding to the actions;
2. the iterative loop i runs from 1 to T:
a) initializing S as the first state of the current state sequence to obtain a characteristic vector phi (S) of the current state sequence;
b) using phi (S) as an input in an Actor network, outputting an action A, and obtaining a new state S' based on the action A, and feeding back R;
c) respectively using phi (S) and phi (S ') as input in a Critic network to obtain Q value output V (S) and V (S');
d) calculating a timing difference TD error δ ═ R + γ V (S') -V (S);
e) gradient update of Critic network parameter w: using the mean square error loss function sigma (R + V (S') -V (S, w))2；
f) TD error is δ (t) ═ Rt +1+ γ Q (St +1, At +1) -Q (St, At), update Actor network parameter θ:
the above three algorithms are only examples, which is not to say that only the above three algorithms are applicable to the present invention, and other traffic correction rules and algorithms are possible. These algorithms are downloaded to the intelligent unit 106 through the cloud system's big data analytics library. Furthermore, the flow correction rules and algorithms may be entered manually via a human interface, such as a touch screen or a keyboard. The intelligent unit 106 downloads the flow correction rules and algorithms from the cloud system to form an expert system rule knowledge base, judges whether data acquisition is correct, preprocesses the original acquired data to form effective data, adjusts the effective data, and regulates and controls the data.
In the embodiment of the present invention, the intelligent control system for medium heat exchange further includes an intelligent control cabinet 34 for data acquisition, analysis and feedback, as shown in fig. 9, including: the second cabinet body 17, the fixed wiring board 18, the acquisition module, the central processing module and the peripheral module; the second cabinet body 17 is a rectangular frame and is welded by steel plate materials, the second cabinet body 17 needs to meet the size requirement of all devices, the strength requirement of on-site construction hoisting, the requirement of water resistance and high temperature and other special construction requirements, and one surface of the second cabinet body 17 is a door capable of being opened and closed, so that the inspection and maintenance of the running condition of equipment are facilitated; the fixed wiring board 18 is arranged on the side wall with the largest area of the second cabinet body 17 and is used for installing the acquisition module, the central processing module and the peripheral module; the acquisition module is used for acquiring flow, inlet and outlet water temperature and concrete temperature; the fixed wiring disc 18, the acquisition module, the central processing module and the peripheral modules are all packaged in the second cabinet body 17, functions are collected by a modularization method, the expandability of the equipment is improved by a method of standardizing devices, and the layout is optimized by a method of packaging the second cabinet body 17 and combing the fixed wiring disc 18.
With the increase of the number of the on-site opening bins and the advance of time, the data volume is larger and larger, the cloud system is preferably a flexible cloud system, computing resources are dynamically allocated according to requirements, and collapse is avoided. The data acquisition analysis feedback intelligent control cabinet 34 is also provided with a standby server for performing data backup and multipoint backup at regular intervals; the server issues a command time interval for controlling the electromagnetic valve, the command is issued to achieve the command, the time required for realizing data acquisition such as required time, temperature flow and the like is required to be matched and designed and calculated, the polling control is changed into parallel control, the reaction time of the reflection arc is reduced, and the control efficiency is improved. The number of electronic devices adopted by each module in the data acquisition, analysis and feedback intelligent control cabinet 34 needs to be dynamically matched according to the number of the connected integrated flow temperature valves, the integrated control cabinet and the concrete temperature meters, and meanwhile, a certain standby channel needs to be reserved, so that the stability of system operation is improved, and the phenomena of overload operation and the like in the field application process are avoided. It is worth mentioning that the internal layout of the data acquisition analysis feedback intelligent control cabinet 34 needs to be dynamically optimized, the fixed wiring board 18 is set to be in a rail type or a jigsaw type, the internal layout of the acquisition cabinet can be dynamically optimized, the internal space of the second cabinet body 17 is conveniently and fully utilized, the size of the second cabinet body 17 is reduced, and the field space required by field layout is saved.
Specifically, the acquisition module comprises a flow module 19, a water inlet and outlet temperature module 20 and a concrete temperature module 21; the flow module 19 is an integrated circuit board for collecting and controlling flow data; the water inlet and outlet temperature module 20 is an integrated circuit board for collecting and controlling water inlet and outlet temperature data; the concrete temperature module 21 is an integrated circuit board for collecting and controlling concrete temperature data; the three modules are standardized self-customization modules, so that on one hand, the requirements of the intelligent water-flowing temperature control 2.0 system on the acquisition, feedback and control functions of flow, water inlet and outlet temperature and concrete temperature data can be met practically, and on the other hand, the further optimization and upgrade of the modules and the expandability of the system can be ensured. In order to improve the control stability, shorten the control time and improve the control accuracy, the module still has a large optimization space; the module can be researched, developed and optimized and perfected by taking reference to Siemens and the like, namely, the intelligent level of the module is improved from two aspects of software and hardware by optimizing electronic components in the module and modifying a module-based small program.
In the embodiment of the present invention, the central processing module includes a power module 22, a CPU module 23, a CPU memory card module 24, and an auxiliary module 25, and preferably includes a CPU computing module, a memory module, a storage module, and an in-cabinet communication IO module; the module comprises a power supply, a CPU, a memory card and other logic control devices providing auxiliary functions, and the components are standardized devices produced in the market. The peripheral industrial personal computer 29 is a central processing device of data; the peripheral screen 30 is a display device of an industrial personal computer; the peripheral keyboard and mouse 31 is an operation control device of an industrial personal computer; the peripheral router 32 is a network transmission device for data; peripheral equipment is packaged in the second cabinet bodies 17, the peripheral equipment is packaged in each second cabinet body 17 independently, each second cabinet body 17 can perform functions independently, meanwhile, when the second cabinet bodies 17 break down, the second cabinet bodies 17 can be opened to be detected and maintained through the peripheral equipment, and meanwhile, the whole second cabinet bodies can be replaced integrally and the positions of the whole second cabinet bodies can be transferred. The data collection analysis feedback intelligent control cabinet 34 further comprises a circuit breaker 26, a socket 27, a terminal block 28 and a second wiring 33. The breaker 26 controls the power supply to be switched on and off; a base with a socket 27 for providing power output; the terminal row 28 is a single row or a double row and is an adapter for outputting current or voltage; the components are standardized devices which are produced in the market. The second connection 33 includes a connection line between the electronic devices and a total connection line led out from the second cabinet 17 after the connection lines are collected. The base of the flow module 19, the water inlet and outlet temperature module 20, the concrete temperature module 21, the power supply module 22, the CPU module 23, the CPU memory card module 24, the auxiliary module 25, the circuit breaker 26, the socket 27, the terminal row 28, the peripheral industrial personal computer 29, the peripheral screen 30, the peripheral keyboard mouse 31, the peripheral router 32 and the second wiring 33 is a fixed wiring disc 18, the fixed wiring disc 18 is used as a base for fixing each module device and is a base frame for combing and tidying each wiring, the layout of each component can be greatly optimized, the partitioning and centralized arrangement of functions are carried out, and the defect that the circuit of the current system is messy and easy to break down is overcome. In an optional embodiment, the field peripheral equipment further comprises a remote PC (personal computer) end, a WeChat mobile end, a webpage end and other various human-computer interaction channels, so that various channels are provided for various parties involved by field constructors, rear technical management personnel and the like, the spatial distance between the personnel and the hardware equipment is shortened, and the production efficiency is improved.
In the embodiment of the present invention, the integrated water control cabinet 35 is used in cooperation with the data acquisition, analysis and feedback intelligent control cabinet 34 in the above embodiment to provide monitoring data for the data acquisition, analysis and feedback intelligent control cabinet 34. The integrated control cabinet and the data acquisition, analysis and feedback intelligent control cabinet 34 adopt a wireless or wired data transmission mode, so that the intelligent control cabinet is convenient to adapt to different working environments on site. Preferably, a waterproof cover plate is additionally arranged at a wiring outlet of the integrated control cabinet and the data acquisition analysis feedback intelligent control cabinet 34, waterproof treatment and double backup are performed on special parts such as an industrial personal computer and the like in the data acquisition analysis feedback intelligent control cabinet 34, and in addition, a rat-proof plate is adopted in the two second cabinets for rat-proof treatment. In an optional embodiment, the invention further provides an intelligent control cabinet, the data acquisition, analysis and feedback intelligent control cabinet 34 and the integrated control cabinet are integrated, components in the data acquisition, analysis and feedback intelligent control cabinet 34 are integrally fixed on the side edge of the integrated control cabinet to form the intelligent control cabinet, the intelligent control cabinet directly performs data interaction with the cloud system 43, a local area network is formed among the intelligent control cabinets to perform data interaction and group interconnection, and a hardware foundation is laid for intelligent dynamic joint debugging of the whole dam.
The work flow of the data acquisition, analysis and feedback intelligent control cabinet 34 mainly comprises two working processes of uploading of sensing data and issuing of control instructions. When uploading sensing data, data acquired by an integrated control cabinet in intelligent water-through temperature control 2.0 system hardware equipment, a concrete temperature sensor embedded in a construction site and other sensor equipment can be input into the data acquisition analysis feedback intelligent control cabinet 34 through wiring, various components in the second cabinet body 17 can work in coordination, data are converted and calculated, and the processed data are uploaded to a database of the cloud system 43, so that the uploading process of the data is completed; when control command is issued, the control command sent by the system software client is transmitted to the data acquisition feedback integrated control cabinet through the network, various components in the second cabinet body 17 can work in coordination, the control command is translated and converted, the control command is transmitted to the integrated control cabinet through wiring, and the issuing process of the control command is completed. The data acquisition, analysis and feedback intelligent control cabinet 34 functions as a data and command transfer station.
The embodiment of the invention also provides a concrete temperature control method, wherein the concrete needs to be subjected to highest temperature control in the heat exchange process, namely the highest temperature which different pouring bins need to reach after the concrete is poured is controlled; the maximum temperature control of the dam is related to the properties, marks, different subareas and time periods of medium-heat concrete and low-heat concrete as well as early and late water supply. The maximum temperature of the concrete is controlled to avoid overlarge temperature stress of mass concrete or concrete cracking caused by overlarge temperature difference of a foundation, upper and lower layers and inner and outer temperature difference. The determination of the maximum temperature of dam concrete construction mainly takes the following factors into consideration:
① is used for controlling the temperature difference stress of the foundation, the highest temperature is not more than the sum of the joint grouting temperature and the allowable temperature difference, ② is used for controlling the internal and external temperature difference stress, the highest temperature is not more than the highest temperature determined by the internal and external temperature difference, ③ is limited by the highest temperature which is different according to the different restrained strength of concrete in a restrained area and a non-restrained area, and is divided into areas (a riverbed dam section, a bank slope dam section and a sub dam) in the actual control process, and ④ is limited by the highest temperature which is different according to the different seasons when concrete is poured and the different thermodynamic characteristics of the concrete.
In the embodiment of the present invention, the data acquisition, analysis and feedback intelligent control cabinet 34 adopts a gradient closed-loop control learning method, as follows, as shown in fig. 10:
the gradient closed-loop intelligent control learning method utilizes a traditional PID controller and a deep learning based controller. The traditional PID controller needs a great deal of time and energy to adjust parameters, is not suitable for the invention due to the nonlinearity and the large hysteresis of the evolution of the concrete temperature field, and can well complete the temperature control work only by dynamically adjusting the parameters in real time after the deep learning network technology is combined.
(1) And (3) proportional links: the flow deviation signal of the control system is reflected in real time proportionally: kpe (t). In the flow simulation G(s) controller, a proportion link instantaneously reacts to flow deviation. Coefficient of proportionality KpThe selection must be proper, the transition time is short, the static difference is small, the stable technical effect can be achieved, the proportion can be determined according to experience in the actual flow control, and intelligent learning of water supply characteristics of different concrete in different seasons and cooling water stations can be realized through repeated adjustment experiments on the site.
(2) And (3) an integration step: the method is mainly used for eliminating static errors and improving the zero-difference degree of the system. The magnitude of the integration depends on the integration time constant TI, the greater TI, i.e. the greater the time interval over which the flow is adjusted, the weaker the integration and, conversely, the stronger. The mathematical expression of the integration element is:
the control action of the intelligent temperature control system is continuously increased as long as the deviation exists, particularly after the control parameter is increased to a certain amount, the operation load of the system is increased due to the amount of the cyclic response of the system, and the integral is always determined according to the specific requirements of different actual intelligent temperature control stagesThe number TI,.
(3) And (3) differentiation: and (3) differentiation:
the faster the deviation changes, the greater the output of the derivative controller, and the correction is performed before the deviation value becomes larger. The introduction of the differential action is helpful to reduce overshoot, overcome oscillation and indirectly enable a temperature control system to tend to be stable, and the action of a differential link is determined by a differential time constant TD. The greater the TD, the greater its effect of suppressing the variation in the deviation e (t); the smaller the TD, the weaker it will have against the change in deviation e (t).
(4) A deep learning link; according to the field working condition and the experience accumulation of long-term intelligent temperature control work, the controller is constructed by adopting a Deep reinforcement learning-DRL method. The following method is realized by the following steps:
s1: and the training set is used for collecting mass concrete temperature control information of past real scenes, and comprises temperature control data of the hydraulic dam, actual measured concrete temperature, water pipe pressure, flow, air temperature, water temperature and the like.
S2: establishing a DQN network, determining Reward and punishment value Reward and State State transfer information, determining the action space (flow of a water pipe) of a strategy, value parameters of corresponding actions of all water pipes, and determining the optimal action according to the flow value.
S3: and training and learning the simulation model by using the training set to obtain a typical data set.
S4: and carrying out real-time flow adjustment by using the trained model.
The gradient closed-loop control learning method further comprises the following steps: the space temperature change rate of the whole process of the concrete heat exchange is coordinated with gradient control; adjusting the allowable temperature change rate according to the maximum temperature reached and the joint grouting temperature
And according to the grade, the subarea, the age, the space and the season of the concrete, the continuous temperature rise before the highest temperature is reached, the continuous temperature reduction after the highest temperature is reached, and the controllable temperature rise control after the joint is realized. Spatial temperature gradient co-operationThe personalized coordination control can be realized only by adjusting the control.
Internal temperature (spatial) gradient
The following were used:
temperature versus time gradient during temperature control
Comprises the following steps:
the temperature gradient control is realized by coordinating the stage cooling time and the temperature control time, so that the temperature and the temperature drop amplitude of each irrigation area form proper gradient.
In the embodiment of the invention, the control method can also control the abnormal temperature control working condition in the concrete heat exchange process, and specifically, the abnormal temperature control working condition can be the control working conditions of overlarge temperature difference in the concrete block, overhigh pouring temperature, sudden drop of ambient temperature, insufficient water flow supply and the like; a real-time small-sized environment measuring system is arranged on the data acquisition, analysis and feedback intelligent control cabinet 34, and comprises the acquisition of data such as wind speed, atmospheric air temperature, humidity and the like, and is coupled and butted with a cloud system acquisition, control and analysis system to timely send out early warning and forecast and adjust a temperature control strategy; meanwhile, the problems of cold impact, early-age concrete cracking and the like are considered, and the cooling rate of each stage is controlled based on the principle of temperature change coordination control.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (23)
1. An intelligent control system for medium heat exchange, comprising: the heat exchange device is arranged on the surface or inside of a target area and is used for exchanging heat with the target area and guiding the heat into or out of the target area so as to control the temperature of the target area; the heat exchange auxiliary device is used for inputting heat exchange media to the heat exchange device and outputting the heat-exchanged media from the heat exchange device;
the method is characterized in that: the heat exchange auxiliary device comprises a medium flow control device, a medium flow measuring device and a medium temperature measuring device, wherein the medium flow control device, the medium flow measuring device and the medium temperature measuring device are integrated in a plurality of integrated flow temperature control devices, each integrated flow temperature control device corresponds to one loop of the heat exchange medium, and the integrated flow temperature control devices are arranged in a flow temperature medium integrated control cabinet;
the integral flow temperature control device in the heat exchange auxiliary device comprises a temperature acquisition device and a flow acquisition device, and is used for controlling the size and the direction of the flow of the heat exchange medium in real time according to an external instruction and acquiring the temperature of the heat exchange medium and the transmission instantaneous flow or the accumulated flow in real time; the integrated flow temperature control device is provided with a bidirectional electric flow control valve, a digital temperature measuring device, a bidirectional ultrasonic flowmeter and a filtering device; the number of the integrated flow temperature control devices is dynamically matched according to the number of actually required heat exchange medium loops and the number of thermometers in a target area, and meanwhile, a certain standby loop is reserved; the integrated flow temperature control device also comprises an intelligent flow temperature acquisition control module, a man-machine interaction device, a connecting circuit and a temperature control device, and is connected with the flow acquisition device, the temperature acquisition device, the two-way electric flow control valve and the temperature control device through the connecting circuit; the intelligent flow temperature acquisition control module comprises a sensor, a measuring unit, a main controller, a communication interface and an intelligent unit; the sensor is connected with the measuring unit; the measuring unit is connected with the main controller and is used for processing the received ultrasonic signals and measuring the propagation time of the ultrasonic waves in the fluid and the measured temperature value; the communication interface is respectively connected with the main controller and the intelligent unit and is used for sending measured flow temperature data and realizing the communication between the intelligent unit and the cloud system; the intelligent unit is connected with the main controller and used for storing and executing a flow correction algorithm downloaded from a big data analysis library of the cloud system in real time; the main controller is used for receiving the time value and the temperature value measured by the measuring unit, calculating the current instantaneous flow rate according to a formula to obtain a flow value, and controlling a communication interface and an intelligent unit connected with the main controller to work;
the control device comprises a central processing module, an acquisition module, a peripheral module and a remote cloud system connected through a network, wherein the central processing module, the acquisition module and the peripheral module are packaged and arranged in a data acquisition analysis feedback intelligent control cabinet, and the central processing module adopts an intelligent PID algorithm to perform gradient control on the flow and the temperature of the heat exchange medium; the cloud system receives data uploaded by the data acquisition, analysis and feedback intelligent control cabinet and issues an instruction by running a certain algorithm; the data acquisition, analysis and feedback intelligent control cabinet keeps autonomous working for a period of time according to a system in the central processing module under the condition of cloud system chain breakage;
the flow temperature medium integrated control cabinet and the data acquisition, analysis and feedback intelligent control cabinet are arranged in a loop of the heat exchange medium, the control device controls the heat exchange medium to be output from the heat exchange medium station, and the heat exchange with the target area is completed through the loop and the heat exchange auxiliary device and the heat exchange device in the loop.
2. The intelligent control system for medium heat exchange according to claim 1, wherein the medium-temperature-medium integrated control cabinet comprises a first cabinet body, and the first cabinet body comprises a plurality of layered structures; a fixing device for fixedly mounting a plurality of the heat exchange auxiliary devices; the wiring of the heat exchange auxiliary device is collected in the first wiring device of the cabinet body; the fixing device is positioned in each layered structure, a plurality of heat exchange auxiliary devices are mounted on each fixing device, and a plurality of heat exchange auxiliary devices are integrated in each layered structure, and heat exchange media in an input main pipeline flow through each heat exchange auxiliary device in the layered structure and flow into an output main pipeline after exchanging heat with a target area.
3. The intelligent medium heat exchange control system according to claim 2, wherein the intelligent flow temperature acquisition control module further comprises a power management unit, and the power management unit is connected with other units and used for power supply management of other units.
4. The intelligent control system for medium heat exchange according to claim 3, characterized in that: the device also comprises a man-machine interface, wherein the man-machine interface is connected with the intelligent unit and used for inputting all parameters of the intelligent flow temperature acquisition control module and outputting measured values outwards through a display screen or electric signals according to a protocol format.
5. The intelligent control system for medium heat exchange according to claim 4, characterized in that: the number of the sensors is more than two.
6. The intelligent control system for medium heat exchange according to claim 2, wherein an input pipeline of the heat exchange auxiliary device is communicated with the input main pipeline, and an output pipeline of the heat exchange auxiliary device transmits the heat exchange medium to the target area for temperature control; the heat exchange auxiliary device comprises a plurality of pipeline loops, and each pipeline loop inputs the heat exchange medium for different target areas; the pipeline loop is arranged in a snake shape according to the system in a target area where the medium exchanges heat.
7. The intelligent control system for medium heat exchange according to claim 6, wherein a plurality of the layered structures are an integrated packaging structure; the layered structures are detachably connected, and the adjacent layered structures form a packaging structure through a connecting piece; the top of the first cabinet body is provided with a hoisting device, the bottom of the first cabinet body is provided with a drainage device, and the drainage device is used for punching holes in the bottom plate of the cabinet body and the corners of the bottom plates of the first wiring devices on the two sides.
8. The intelligent medium heat exchange control system according to claim 7, wherein the wiring of the intelligent medium heat exchange control system is connected with each heat exchange auxiliary device and then collected in the first wiring device; one side of the first cabinet body is provided with an indent or an evagination for installing the first wiring device, the waterproof treatment of the wiring inlet and outlet of the first cabinet body is as follows: the wiring hole of the first cabinet body is completely designed by adopting an aviation plug assisted with a waterproof cover plate, and the cover plate is designed in a flip type mode.
9. The intelligent control system for medium heat exchange according to claim 1, wherein the intelligent control cabinet for data collection, analysis and feedback further comprises: the second cabinet body and the second wiring device; the second wiring device is arranged on the inner side wall of the second cabinet body and used for mounting the acquisition module, the central processing module and the peripheral module; the acquisition module is used for acquiring the flow of the heat exchange medium, the temperature of the heat exchange medium and the temperature of a target area; the central processing module is used for processing the data acquired by the acquisition module and uploading the processed data to the cloud system for data interaction, and meanwhile, a plurality of data acquisition analysis feedback intelligent control cabinets form a local area network for data interaction.
10. The intelligent medium heat exchange control system according to claim 9, wherein the central processing module is an intelligent processing unit, and the intelligent processing unit performs control on the highest temperature control in the heat exchange process of the target area, the coordinated gradient control of the spatial temperature change rate in the whole heat exchange process of the target area, and the abnormal temperature control conditions in the heat exchange process of the target area, wherein the abnormal temperature control conditions include excessive temperature difference in the target area, excessive casting temperature, sudden drop of ambient temperature, and insufficient medium flow supply.
11. The intelligent medium heat exchange control system according to claim 9, wherein the number of modules in the intelligent data acquisition, analysis and feedback control cabinet is dynamically matched according to the number of connected integrated flow temperature control devices, and certain spare channels are reserved.
12. The intelligent medium heat exchange control system according to claim 9, wherein the central processing module comprises a CPU computing module, a memory module, a storage module, and an in-cabinet communication IO module; the peripheral module comprises a peripheral industrial personal computer, a peripheral screen, a peripheral keyboard mouse, a peripheral router, a remote PC end, a WeChat mobile end and a webpage end.
13. The intelligent media heat exchange control system of claim 9, wherein the cloud system is a flexible cloud system, and dynamically allocates computing resources according to requirements; the data acquisition analysis feedback intelligent control cabinet is provided with a standby industrial personal computer unit for periodically carrying out data backup.
14. A control method of the intelligent control system for medium heat exchange according to any one of claims 1 to 13, comprising the following steps:
(1) the medium in the medium supply station flows through the flow-temperature medium integrated control cabinet, the medium flow and the temperature are adjusted to be preset under the control of a central processing module and an external module in the data acquisition, analysis and feedback intelligent control cabinet, heat input and output are carried out on the target area, and heat exchange is carried out;
(2) the intelligent flow temperature acquisition control module acquires temperature information and medium flow information of a target area in real time, the central processing module/the main controller adopts an intelligent PID algorithm and performs highest temperature control in the heat exchange process, space temperature change rate coordination gradient control in the whole heat exchange process of the target area and control of abnormal temperature control working conditions in the heat exchange process of the target area by a gradient closed loop intelligent learning control method, and the abnormal temperature control working conditions comprise overlarge temperature difference in the target area, overhigh pouring temperature, sudden drop of ambient temperature and insufficient medium flow supply.
15. The control method of the medium heat exchange intelligent control system according to claim 14, wherein the gradient closed-loop intelligent learning control method adopts an intelligent PID (proportion integration differentiation) regulation algorithm, comprises a proportional link, an integral link, a differential link and a deep learning link, and realizes automatic parameter adjustment and regulation by using the deep learning method.
16. The control method of the intelligent medium heat exchange control system according to claim 14, wherein the intelligent unit in the intelligent flow temperature acquisition control module corrects the acquired flow by executing certain algorithms, wherein the algorithms include a maximum flow determination algorithm, a flow continuous determination algorithm and an intelligent algorithm based on deep reinforcement learning.
17. The control method of the intelligent medium heat exchange control system according to claim 16, wherein a maximum flow judgment criterion is downloaded from a cloud system, and the maximum flow judgment algorithm comprises the following steps:
s401: powering on, and reading the stored original rule;
s402: connecting with a server, and downloading a maximum flow rule;
s403: starting a timer, measuring the propagation time of the ultrasonic wave in the fluid, and calculating the current instantaneous flow velocity according to a formula to obtain a flow value;
s404: whether the current flow value is less than the maximum flow;
s405: if yes, judging that the flow value meets the requirement, and outputting through a communication interface;
s406: if not, judging that the flow value does not meet the requirement, neglecting the flow value acquired at the time, and simultaneously recording the error number.
18. The control method of the intelligent medium heat exchange control system according to claim 16, wherein a flow continuity determination algorithm is downloaded from a cloud system, and the flow continuity determination algorithm comprises the following steps:
s501: powering on, and reading the stored original rule;
s502: connecting a cloud system, and downloading a continuous flow rule;
s503: starting a timer, measuring the propagation time of the ultrasonic wave in the fluid, and calculating the current instantaneous flow velocity according to a formula to obtain a flow value;
s504: whether the current flow value is in a certain interval (Min, Max) or not, wherein Min is a set minimum flow value, and Max is a set maximum flow value;
s505: if yes, judging that the flow value meets the requirement, and outputting through a communication interface;
s506: if not, judging that the flow value does not meet the requirement, neglecting the flow value acquired at the time, and simultaneously recording the error number.
19. The control method of the intelligent control system for medium heat exchange according to claim 16, wherein the intelligent algorithm based on deep reinforcement learning comprises the following steps:
s601: training a data set, and collecting real scene historical data;
s602: establishing a simulation model, determining a reward and punishment value and state transition information, determining an action space of a strategy, determining value parameters of all corresponding actions, and determining an optimal estimation value according to the flow value;
s603: training and learning the simulation model by using a training set to obtain a typical model;
s604: and carrying out real-time decision making by using the typical model.
20. The control method of the intelligent medium heat exchange control system as claimed in claim 16, wherein the flow correction rules and algorithms executed by the intelligent unit are manually input through a human-computer interface; according to the method, the intelligent unit selects a flow correction algorithm to calculate the current flow according to the actual medium circulation condition.
21. The control method of the intelligent medium heat exchange control system according to claim 20, wherein the flow correction rules and algorithms executed by the intelligent unit are manually input through a human-computer interface, or the intelligent unit downloads the flow correction rules and algorithms from the cloud system to form an expert system rule knowledge base, judges whether data acquisition is correct, preprocesses the original acquired data to form effective data, adjusts according to the effective data, and then performs regulation and control.
22. The control method of the intelligent control system for medium heat exchange according to claim 14, wherein the control method for the temperature of the heat exchange medium comprises the following steps:
s1, setting the temperature of the circulating medium;
s2, closing the medium flow control device;
s3, turning on the medium temperature control device;
s4, measuring the medium temperature by a medium temperature measuring device;
s5: opening the medium flow control device when the medium reaches a preset temperature;
s6, continuing to measure, finding that the temperature of the medium is reduced, reducing the opening of the medium flow control device and increasing the medium temperature control power;
and S7, repeatedly adjusting the temperature according to the steps to achieve the aim of outputting the medium with the preset temperature in real time.
23. The control method of the intelligent control system for medium heat exchange according to claim 14, wherein the control method for the flow of the heat exchange medium comprises the following steps:
s1, setting a medium flow F;
s2, setting the opening of the initial medium flow control device;
s3, the medium flow measuring device measures the current flow F1, if the current F1 is greater than F, the opening degree of the medium flow control device is decreased, if the current F1 is less than F, the opening degree of the medium flow control device is increased;
s4, the medium flow measuring device continues to measure, if the current medium flow and the set medium flow are in the allowable error range, the adjustment is stopped, otherwise, the step S3 is carried out in a circulating way;
and S5, displaying alarm information for the adjustment which can not be completed within the limited time T.
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